Laboratory for Interdisciplinary Breakthrough Science - Hybrid

Explore the intersection of machine learning and fundamental sciences in this hybrid discussion meeting organized by the International Centre for Theoretical Sciences. Delve into the potential of ML techniques to tackle complex scientific challenges across various disciplines. Discover how industry-academia collaborations can drive breakthrough research. Learn about innovative ML architectures and their applications in fields such as astrophysics, neuroscience, and physics-informed neural networks. Gain insights into cutting-edge topics like neuronal simulations, brain science acceleration, and deep lab cut techniques. Understand the importance of interdisciplinary approaches and funding strategies for advancing scientific research through machine learning.

Introduction
Machine Learning
Common Ground
Interdisciplinary
Funding
Advisory Board
Questions
My Science
Observing Stars
Deconstructing Machines
Physics Informed Neural Networks
Brain
Neuron
Presynaptic boot
Deep lab cut
Brain science accelerator
Neuronal simulations
Neural networks